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JuliaPsychometrics / RaschModels.jl

Rasch modeling with all the bells and whistles. Implementations for Rasch model, partial credit model, rating scale model, and its linear extensions (upcoming). Classical and Bayesian estimation.
MIT License
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Draft: Add documentation #44

Closed p-gw closed 11 months ago

p-gw commented 1 year ago

closes #19

p-gw commented 1 year ago

@t-alfers we need some data for the tutorials in the documentation. Preferably small to moderately sized data sets so we can also fit the bayesian models without it taking forever to build the docs.

Any suggestions?

t-alfers commented 1 year ago

The VerbalAgression dataset would be the most famous one and would work with every model in our package.

It would also be an opportunity for some of our own datasets to show up - but I would need to ask some people for permission first.

p-gw commented 1 year ago

The VerbalAgression dataset would be the most famous one and would work with every model in our package.

Fine with me for the initial release. Do you want to include the data in the package or should we write a "real world" tutorial with processing the data first? I think I'm leaning towards the latter.

t-alfers commented 1 year ago

I would also opt for the latter. There are multiple locations available where we can import the data from (e.g. R packages: lme4, difR, eirm, ...), a GitHub gist via JuliaPsychometrics would also be a good option, I think.